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J-GLOBAL ID:202102245034645345   Reference number:21A2571743

Hybrid Method of Automated EEG Signals’ Selection Using Reversed Correlation Algorithm for Improved Classification of Emotions

感情の改良型分類のための逆相関アルゴリズムを用いた自動EEG信号選択のハイブリッド法【JST・京大機械翻訳】
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Volume: 20  Issue: 24  Page: 7083  Publication year: 2020 
JST Material Number: U7015A  ISSN: 1424-8220  CODEN: SENSC9  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Reference (79):
  • Cai, H.; Chen, Y.; Han, J.; Zhang, X.; Hu, B. Study on feature selection methods for depression detection using three-electrode EEG data. Interdiscip. Sci. Comput. Life Sci. 2018, 10, 558-565.
  • Hwang, H.J.; Kim, S.; Choi, S.; Im, C.H. EEG-based brain-computer interfaces: A thorough literature survey. Int. J. Hum. Comput. Interact. 2013, 29, 814-826.
  • Padfield, N.; Zabalza, J.; Zhao, H.; Masero, V.; Ren, J. EEG-based brain-computer interfaces using motor-imagery: Techniques and challenges. Sensors 2019, 19, 1423.
  • Nesse, R.M.; Ellsworth, P.C. Evolution, emotions, and emotional disorders. Am. Psychol. 2009, 64, 129-139.
  • Berry, D.S.; Pennebaker, J.W. Nonverbal and Verbal Emotional Expression and Health. Psychother. Psychosom. 1993, 59, 11-19.
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